Coordinated beam forming for 5G or other next generation network

ABSTRACT

In 5G, a high degree of automated management and control mechanisms can coordinate various radios in relatively close proximity, via a zone, or in a cluster. Reactive automation coupled with hybrid algorithms utilizing internal radio states and known or expected external events or entities can enable a smart proactive 5G automation. The smart proactive 5G automation can minimize signaling between the radios and provide a hybrid distributed and centralized model utilizing a radio access network intelligent controller to increase spectrum efficiencies. Additionally, the smart proactive 5G automation can provide new service opportunities that can be offered by service providers.

RELATED APPLICATION

The subject patent application is a continuation of, and claims priorityto, U.S. patent application Ser. No. 16/369,611 (now U.S. Pat. No.10,701,681), filed Mar. 29, 2019, and entitled “COORDINATED BEAM FORMINGFOR 5G OR OTHER NEXT GENERATION NETWORK,” the entirety of whichapplication is hereby incorporated by reference herein.

TECHNICAL FIELD

This disclosure relates generally to facilitating coordinated beamforming. For example, this disclosure relates to facilitatingcoordinated beam forming comprising integrated internal radio accessnetwork states for a 5G, or other next generation network, airinterface.

BACKGROUND

5th generation (5G) wireless systems represent a next major phase ofmobile telecommunications standards beyond the currenttelecommunications standards of 4^(th) generation (4G). Rather thanfaster peak Internet connection speeds, 5G planning aims at highercapacity than current 4G, allowing a higher number of mobile broadbandusers per area unit, and allowing consumption of higher or unlimiteddata quantities. This would enable a large portion of the population tostream high-definition media many hours per day with their mobiledevices, when out of reach of wireless fidelity hotspots. 5G researchand development also aims at improved support of machine-to-machinecommunication, also known as the Internet of things, aiming at lowercost, lower battery consumption, and lower latency than 4G equipment.

The above-described background relating to coordinating beam forming ismerely intended to provide a contextual overview of some current issues,and is not intended to be exhaustive. Other contextual information maybecome further apparent upon review of the following detaileddescription.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting and non-exhaustive embodiments of the subject disclosureare described with reference to the following figures, wherein likereference numerals refer to like parts throughout the various viewsunless otherwise specified.

FIG. 1 illustrates an example wireless communication system in which anetwork node device (e.g., network node) and user equipment (UE) canimplement various aspects and embodiments of the subject disclosure.

FIG. 2 illustrates an example schematic system block diagram of a radioaccess network intelligent controller according to one or moreembodiments.

FIG. 3 illustrates an example schematic system block diagram of a zonedtopography according to one or more embodiments.

FIG. 4 illustrates an example schematic system block diagram of a zonedtopography in communication with a RIC according to one or moreembodiments.

FIG. 5 illustrates an example flow diagram of a closed loop controlsystem according to one or more embodiments.

FIG. 6 illustrates an example flow diagram for a method for coordinatedbeam forming for a 5G network according to one or more embodiments.

FIG. 7 illustrates an example flow diagram for a system for coordinatedbeam forming for a 5G network according to one or more embodiments.

FIG. 8 illustrates an example flow diagram for a machine-readable mediumfor coordinated beam forming for a 5G network according to one or moreembodiments.

FIG. 9 illustrates an example block diagram of an example mobile handsetoperable to engage in a system architecture that facilitates securewireless communication according to one or more embodiments describedherein.

FIG. 10 illustrates an example block diagram of an example computeroperable to engage in a system architecture that facilitates securewireless communication according to one or more embodiments describedherein.

DETAILED DESCRIPTION

In the following description, numerous specific details are set forth toprovide a thorough understanding of various embodiments. One skilled inthe relevant art will recognize, however, that the techniques describedherein can be practiced without one or more of the specific details, orwith other methods, components, materials, etc. In other instances,well-known structures, materials, or operations are not shown ordescribed in detail to avoid obscuring certain aspects.

Reference throughout this specification to “one embodiment,” or “anembodiment,” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearances of the phrase “in oneembodiment,” “in one aspect,” or “in an embodiment,” in various placesthroughout this specification are not necessarily all referring to thesame embodiment. Furthermore, the particular features, structures, orcharacteristics may be combined in any suitable manner in one or moreembodiments.

As utilized herein, terms “component,” “system,” “interface,” and thelike are intended to refer to a computer-related entity, hardware,software (e.g., in execution), and/or firmware. For example, a componentcan be a processor, a process running on a processor, an object, anexecutable, a program, a storage device, and/or a computer. By way ofillustration, an application running on a server and the server can be acomponent. One or more components can reside within a process, and acomponent can be localized on one computer and/or distributed betweentwo or more computers.

Further, these components can execute from various machine-readablemedia having various data structures stored thereon. The components cancommunicate via local and/or remote processes such as in accordance witha signal having one or more data packets (e.g., data from one componentinteracting with another component in a local system, distributedsystem, and/or across a network, e.g., the Internet, a local areanetwork, a wide area network, etc. with other systems via the signal).

As another example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry; the electric or electronic circuitry can beoperated by a software application or a firmware application executed byone or more processors; the one or more processors can be internal orexternal to the apparatus and can execute at least a part of thesoftware or firmware application. As yet another example, a componentcan be an apparatus that provides specific functionality throughelectronic components without mechanical parts; the electroniccomponents can include one or more processors therein to executesoftware and/or firmware that confer(s), at least in part, thefunctionality of the electronic components. In an aspect, a componentcan emulate an electronic component via a virtual machine, e.g., withina cloud computing system.

The words “exemplary” and/or “demonstrative” are used herein to meanserving as an example, instance, or illustration. For the avoidance ofdoubt, the subject matter disclosed herein is not limited by suchexamples. In addition, any aspect or design described herein as“exemplary” and/or “demonstrative” is not necessarily to be construed aspreferred or advantageous over other aspects or designs, nor is it meantto preclude equivalent exemplary structures and techniques known tothose of ordinary skill in the art. Furthermore, to the extent that theterms “includes,” “has,” “contains,” and other similar words are used ineither the detailed description or the claims, such terms are intendedto be inclusive—in a manner similar to the term “comprising” as an opentransition word—without precluding any additional or other elements.

As used herein, the term “infer” or “inference” refers generally to theprocess of reasoning about, or inferring states of, the system,environment, user, and/or intent from a set of observations as capturedvia events and/or data. Captured data and events can include user data,device data, environment data, data from sensors, sensor data,application data, implicit data, explicit data, etc. Inference can beemployed to identify a specific context or action, or can generate aprobability distribution over states of interest based on aconsideration of data and events, for example.

Inference can also refer to techniques employed for composinghigher-level events from a set of events and/or data. Such inferenceresults in the construction of new events or actions from a set ofobserved events and/or stored event data, whether the events arecorrelated in close temporal proximity, and whether the events and datacome from one or several event and data sources. Various classificationschemes and/or systems (e.g., support vector machines, neural networks,expert systems, Bayesian belief networks, fuzzy logic, and data fusionengines) can be employed in connection with performing automatic and/orinferred action in connection with the disclosed subject matter.

In addition, the disclosed subject matter can be implemented as amethod, apparatus, or article of manufacture using standard programmingand/or engineering techniques to produce software, firmware, hardware,or any combination thereof to control a computer to implement thedisclosed subject matter. The term “article of manufacture” as usedherein is intended to encompass a computer program accessible from anycomputer-readable device, machine-readable device, computer-readablecarrier, computer-readable media, or machine-readable media. Forexample, computer-readable media can include, but are not limited to, amagnetic storage device, e.g., hard disk; floppy disk; magneticstrip(s); an optical disk (e.g., compact disk (CD), a digital video disc(DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g.,card, stick, key drive); and/or a virtual device that emulates a storagedevice and/or any of the above computer-readable media.

As an overview, various embodiments are described herein to facilitatecoordinated beam forming for a 5G air interface or other next generationnetworks. For simplicity of explanation, the methods (or algorithms) aredepicted and described as a series of acts. It is to be understood andappreciated that the various embodiments are not limited by the actsillustrated and/or by the order of acts. For example, acts can occur invarious orders and/or concurrently, and with other acts not presented ordescribed herein. Furthermore, not all illustrated acts may be requiredto implement the methods. In addition, the methods could alternativelybe represented as a series of interrelated states via a state diagram orevents. Additionally, the methods described hereafter are capable ofbeing stored on an article of manufacture (e.g., a machine-readablestorage medium) to facilitate transporting and transferring suchmethodologies to computers. The term article of manufacture, as usedherein, is intended to encompass a computer program accessible from anycomputer-readable device, carrier, or media, including a non-transitorymachine-readable storage medium.

It should be noted that although various aspects and embodiments havebeen described herein in the context of 5G, Universal MobileTelecommunications System (UMTS), and/or Long Term Evolution (LTE), orother next generation networks, the disclosed aspects are not limited to5G, a UMTS implementation, and/or an LTE implementation as thetechniques can also be applied in 3G, 4G or LTE systems. For example,aspects or features of the disclosed embodiments can be exploited insubstantially any wireless communication technology. Such wirelesscommunication technologies can include UMTS, Code Division MultipleAccess (CDMA), Wi-Fi, Worldwide Interoperability for Microwave Access(WiMAX), General Packet Radio Service (GPRS), Enhanced GPRS, ThirdGeneration Partnership Project (3GPP), LTE, Third Generation PartnershipProject 2 (3GPP2) Ultra Mobile Broadband (UMB), High Speed Packet Access(HSPA), Evolved High Speed Packet Access (HSPA+), High-Speed DownlinkPacket Access (HSDPA), High-Speed Uplink Packet Access (HSUPA), Zigbee,or another IEEE 802.XX technology. Additionally, substantially allaspects disclosed herein can be exploited in legacy telecommunicationtechnologies.

Described herein are systems, methods, articles of manufacture, andother embodiments or implementations that can facilitate coordinatedbeam forming (e.g., a mobile handset, a computer, a handheld device,etc.) any Internet of things (TOT) device (e.g., toaster, coffee maker,blinds, music players, speakers, etc.), and/or any connected vehicles(cars, airplanes, space rockets, and/or other at least partiallyautomated vehicles (e.g., drones)). In some embodiments the non-limitingterm user equipment (UE) is used. It can refer to any type of wirelessdevice that communicates with a radio network node in a cellular ormobile communication system. Examples of UE are target device, device todevice (D2D) UE, machine type UE or UE capable of machine to machine(M2M) communication, PDA, Tablet, mobile terminals, smart phone, laptopembedded equipped (LEE), laptop mounted equipment (LME), USB donglesetc. Note that the terms element, elements and antenna ports can beinterchangeably used but carry the same meaning in this disclosure. Theembodiments are applicable to single carrier as well as to multicarrier(MC) or carrier aggregation (CA) operation of the UE. The term carrieraggregation (CA) is also called (e.g. interchangeably called)“multi-carrier system”, “multi-cell operation”, “multi-carrieroperation”, “multi-carrier” transmission and/or reception.

In some embodiments the non-limiting term radio network node or simplynetwork node is used. It can refer to any type of network node thatserves UE is connected to other network nodes or network elements or anyradio node from where UE receives a signal. Examples of radio networknodes are Node B, base station (BS), multi-standard radio (MSR) nodesuch as MSR BS, eNode B, network controller, radio network controller(RNC), base station controller (BSC), relay, donor node controllingrelay, base transceiver station (BTS), access point (AP), transmissionpoints, transmission nodes, RRU, RRH, nodes in distributed antennasystem (DAS) etc.

Cloud radio access networks (RAN) can enable the implementation ofconcepts such as software-defined network (SDN) and network functionvirtualization (NFV) in 5G networks. This disclosure can facilitate ageneric channel state information framework design for a 5G network.Certain embodiments of this disclosure can comprise an SDN controllerthat can control routing of traffic within the network and between thenetwork and traffic destinations. The SDN controller can be merged withthe 5G network architecture to enable service deliveries via openapplication programming interfaces (“APIs”) and move the network coretowards an all internet protocol (“IP”), cloud based, and softwaredriven telecommunications network. The SDN controller can work with, ortake the place of policy and charging rules function (“PCRF”) networkelements so that policies such as quality of service and trafficmanagement and routing can be synchronized and managed end to end.

To meet the huge demand for data centric applications, 4G standards canbe applied 5G, also called new radio (NR) access. 5G networks cancomprise the following: data rates of several tens of megabits persecond supported for tens of thousands of users; 1 gigabit per secondcan be offered simultaneously to tens of workers on the same officefloor; several hundreds of thousands of simultaneous connections can besupported for massive sensor deployments; spectral efficiency can beenhanced compared to 4G; improved coverage; enhanced signalingefficiency; and reduced latency compared to LTE. In multicarrier systemsuch as OFDM, each subcarrier can occupy bandwidth (e.g., subcarrierspacing). If the carriers use the same bandwidth spacing, then it can beconsidered a single numerology. However, if the carriers occupydifferent bandwidth and/or spacing, then it can be considered a multiplenumerology.

A radio access network intelligent controller (RIC) can provide keyfunctionality with regards to this disclosure. This disclosure canprovide for a coordinated extrapolation, inclusion, and integration ofdata about external or environment objects and internal radio accessnetwork RAN states to determine optimum beam patterns. The optimal beampatterns can support end user demands while meeting network providerspectrum and frequency optimization operational needs.

This disclosure comprises procedures and controls for near real-timebeam control practices for an aggregate of one or more groups of parentcentralized units (CUs) where each CU can control one or more groups ofadjacent radio units (RUs) (e.g., a hierarchy known as a zone or acluster of radios).

Hybrid reactive and pro-active beam pattern control algorithms canprovide better beam-steering and beam-forming techniques for massivemultiple inpuy multiple output (MIMO) 5G and beyond systems. Proceduresand control algorithms for near real time beam control can comprise: 1)practices for an aggregate of one or more groups of parent CUs, whereeach CU can control one or more groups of adjacent RUs, a hierarchy hereknown as a zone or a cluster of radios; 2) mapping, overlay, and/orintegrating external and relevant known events and entities (based ongeographical information systems (GIS), maps, and/or list of knownevents, etc.) to influence internal reactive mode operations; 3) amachine learning (ML) algorithm can be trained offline in a ML platform(e.g., Acumos) to learn and predict the change in user population orusers' mobility within the scope of a CU, wherein the ML model can befederated via a network management platform (e.g., open networkautomation platform (ONAP)) and downloaded to a running instance of theRIC; and/or 4) integrated models based on the above mentioneddisclosures (mapping/overlay and ML} can be applied in real-time toproduce preceding matrices just in time to steer multiple beams to adesired objective (e.g., maximize coverage or capacity).

In 5G, a high degree of automated management (zero-touch) and controlmechanisms can coordinate various radios in relatively close proximity,in a zone, or in a cluster. However, reactive automation is often notsufficient or efficient. Reactive automation coupled with proposedhybrid algorithms utilizing internal radio states plus known or expectedexternal events or entities can enable a smart proactive 5G automation.This disclosure can minimize the signaling between the radios andinstead provide a hybrid distributed and centralized model utilizing aRIC to increase spectrum efficiencies while providing a means for newservice opportunities that are under the control of service operators.

5G radios are clustered into zones where they are expected to form alist of various radio technologies serving a specific geography. Inaddition, external events and information about the specific zone (e.g.,entities covered by the zone, bridges, high rise buildings, schools,malls, train station, airports, stadiums, etc.) can be described ormodeled and compiled into a set of parameters that can directly impactthe definition of a beam pattern and a beam control mechanism.

For example, if a dozen different clusters or zone types are developedfor 5G networks, one of those zones can be described as amassive-dynamicity-zone, such as stadium where sporting events withthousands of user equipment device can have a direct effect on thenetwork. Depending on the expected population of attendees (from a fewthousand to 10 s of thousands) different beam pattern parameterthresholds can be set to meet the customer demands and reduceoperational costs. In another example, a high school schedule can beknown and the RIC continually learn about the usage behavior of studentsduring school and non-school times. The information can be gathered andused to compile a new set of beam pattern optimization parameters suchthat the beam pattern optimization parameters can influence the schoolor stadium accordingly.

Zones, events, an entities can be classified into well-known profileswhere algorithms can continuously be improved. The algorithms can alsoutilize various policy goals for each zone based on capacity and/orspectrum utilization, delay budgets, and/or power consumptions. Thus, aszone behaviors change or new formations are introduced, the algorithmscan be improved and adjusted.

The CU can sit in the central office, the DU can reside next to theradio (bottom of the tower), and the RIC can reside in the centraloffice. So there can be miles of distance between the RIC and the RU.Thus, depicting the relationship between the RIC and the radio units canbe 3-dimensional (e.g., in time, in frequency, and in space). 4.5G, 5G,Wi-Fi, etc. are examples of what types of technologies can be include ina zone. Moreover, coordinated beam forming can comprise load balancingand power control, etc. For example, the RIC can send prompt data to theUEs to prompt the UEs to perform power adjustments or load balancing.

The RIC can be aware of and manage each zone. Each RU attached to thedevices can send CSI to the RIC indicating what beams are good for theUEs. The RIC can also receive external data about objects (e.g., UEs,cars, etc.) such that the RIC can predict where that object might be ata certain time of day. Can provide precoding calculations and controlalgorithms in a coordinated way based on the zone (e.g., adjustingpower, beam patterns, etc.). Based on knowledge of terrain, maps, andgeographical features, geographical data can be correlated to UEs bywhere they are located at specific times to proactively focus thespectrum and/or beams accordingly. For example, a power of a UE can beincreased in response to an indication that a building between the UEand a base station device may interfere with a beam to the UE.Predictions can take into account bandwidth requirements and/or how fastthe UE is moving. Thus, the RIC can predict a future location of theUEs. The precoding matrix calculation can be performed at the RIC and beavailable at the RU or it can be pushed to the RU as the calculationsare being performed if it can meet feedback loop requirements. Thus, ifan RU fails, the RIC can provide additional data to another RU to becomethe backup to the RU that went down.

It should also be noted that an artificial intelligence (AI) componentcan facilitate automating one or more features in accordance with thedisclosed aspects. A memory and a processor as well as other componentscan include functionality with regard to the figures. The disclosedaspects in connection with coordinated beam forming can employ variousAI-based schemes for carrying out various aspects thereof. For example,a process for detecting one or more trigger events, modifying a beampattern as a result of the one or more trigger events, and transmittingthe beam, and so forth, can be facilitated with an example automaticclassifier system and process. In another example, a process forpenalizing one beam while preferring another beam can be facilitatedwith the example automatic classifier system and process.

An example classifier can be a function that maps an input attributevector, x=(x1, x2, x3, x4, xn), to a confidence that the input belongsto a class, that is, f(x)=confidence(class). Such classification canemploy a probabilistic and/or statistical-based analysis (e.g.,factoring into the analysis utilities and costs) to prognose or infer anaction that can be automatically performed. In the case of communicationsystems, for example, attributes can be a signal strength and atechnology and the classes can be an output power reduction value. Inanother example, the attributes can be a signal strength, a technology,and static or dynamic scenarios that can affect output power.

A support vector machine (SVM) is an example of a classifier that can beemployed. The SVM can operate by finding a hypersurface in the space ofpossible inputs, which the hypersurface attempts to split the triggeringcriteria from the non-triggering events. Intuitively, this makes theclassification correct for testing data that is near, but not identicalto training data. Other directed and undirected model classificationapproaches include, for example, naïve Bayes, Bayesian networks,decision trees, neural networks, fuzzy logic models, and probabilisticclassification models providing different patterns of independence canbe employed. Classification as used herein also may be inclusive ofstatistical regression that is utilized to develop models of priority.

The disclosed aspects can employ classifiers that are explicitly trained(e.g., via a generic training data) as well as implicitly trained (e.g.,via observing mobile device usage as it relates to triggering events,observing network frequency/technology, receiving extrinsic information,and so on). For example, SVMs can be configured via a learning ortraining phase within a classifier constructor and feature selectionmodule. Thus, the classifier(s) can be used to automatically learn andperform a number of functions, including but not limited to allocatingnetwork resources, objections, locations, modifying beams, and so forth.The criteria can include, but is not limited to, predefined values,location data tables or other parameters, service provider preferencesand/or policies, and so on.

In one embodiment, described herein is a method comprising receiving, bya wireless network device comprising a processor, zone datarepresentative of a zone comprising mobile devices of a wirelessnetwork. The method can comprise receiving, by the wireless networkdevice, channel state data associated with channels utilized by themobile devices, wherein the channel state data is received from a radiounit device. Additionally, the method can comprise receiving, by thewireless network device, external data representative of an objectwithin the zone. Furthermore, based on the zone data, the channel statedata, and the external data, the method can comprise generating, by thewireless network device, precoding data representative of a precodermatrix to be sent to the mobile devices.

According to another embodiment, a system can facilitate, receiving zonedata representative of a zone comprising mobile devices of a wirelessnetwork. The system operations can comprise receiving channel state dataassociated with the mobile devices, wherein the channel state data isreceived from a radio unit device. The system operations can comprisereceiving object data representative of characteristics of an objectwithin the zone. Based on the zone data, the channel state data, and theobject data, the system operations can comprise generating precodingdata representative of a precoder matrix to be sent to the mobiledevices. Additionally, in response to the generating the precoding data,the system operations can comprise sending the precoding data to themobile devices.

According to yet another embodiment, described herein is amachine-readable storage medium that can perform the operationscomprising facilitating receiving zone data representative of a zone ofa wireless network. The machine-readable storage medium can perform theoperations comprising facilitating receiving an indication of mobiledevices within the zone. In response to the facilitating the receivingthe indication, the machine-readable storage medium can perform theoperations comprising facilitating receiving channel state data,associated with the mobile devices, from a radio unit device.Additionally, the machine-readable storage medium can perform theoperations comprising facilitating receiving object data representativeof characteristics of an object within the zone. Furthermore, based onthe zone data, the indication, the channel state data, and the objectdata, the machine-readable storage medium can perform the operationscomprising facilitating sending precoding matrix data, representative ofa precoding matrix, to the mobile devices.

These and other embodiments or implementations are described in moredetail below with reference to the drawings.

Referring now to FIG. 1, illustrated is an example wirelesscommunication system 100 in accordance with various aspects andembodiments of the subject disclosure. In one or more embodiments,system 100 can comprise one or more user equipment UEs 102. Thenon-limiting term user equipment can refer to any type of device thatcan communicate with a network node in a cellular or mobilecommunication system. A UE can have one or more antenna panels havingvertical and horizontal elements. Examples of a UE comprise a targetdevice, device to device (D2D) UE, machine type UE or UE capable ofmachine to machine (M2M) communications, personal digital assistant(PDA), tablet, mobile terminals, smart phone, laptop mounted equipment(LME), universal serial bus (USB) dongles enabled for mobilecommunications, a computer having mobile capabilities, a mobile devicesuch as cellular phone, a laptop having laptop embedded equipment (LEE,such as a mobile broadband adapter), a tablet computer having a mobilebroadband adapter, a wearable device, a virtual reality (VR) device, aheads-up display (HUD) device, a smart car, a machine-type communication(MTC) device, and the like. User equipment UE 102 can also comprise IOTdevices that communicate wirelessly.

In various embodiments, system 100 is or comprises a wirelesscommunication network serviced by one or more wireless communicationnetwork providers. In example embodiments, a UE 102 can becommunicatively coupled to the wireless communication network via anetwork node 104. The network node (e.g., network node device) cancommunicate with user equipment (UE), thus providing connectivitybetween the UE and the wider cellular network. The UE 102 can sendtransmission type recommendation data to the network node 104. Thetransmission type recommendation data can comprise a recommendation totransmit data via a closed loop MIMO mode and/or a rank-1 precoder mode.

A network node can have a cabinet and other protected enclosures, anantenna mast, and multiple antennas for performing various transmissionoperations (e.g., MIMO operations). Network nodes can serve severalcells, also called sectors, depending on the configuration and type ofantenna. In example embodiments, the UE 102 can send and/or receivecommunication data via a wireless link to the network node 104. Thedashed arrow lines from the network node 104 to the UE 102 representdownlink (DL) communications and the solid arrow lines from the UE 102to the network nodes 104 represents an uplink (UL) communication.

System 100 can further include one or more communication serviceprovider networks 106 that facilitate providing wireless communicationservices to various UEs, including UE 102, via the network node 104and/or various additional network devices (not shown) included in theone or more communication service provider networks 106. The one or morecommunication service provider networks 106 can include various types ofdisparate networks, including but not limited to: cellular networks,femto networks, picocell networks, microcell networks, internet protocol(IP) networks Wi-Fi service networks, broadband service network,enterprise networks, cloud based networks, and the like. For example, inat least one implementation, system 100 can be or include a large scalewireless communication network that spans various geographic areas.According to this implementation, the one or more communication serviceprovider networks 106 can be or include the wireless communicationnetwork and/or various additional devices and components of the wirelesscommunication network (e.g., additional network devices and cell,additional UEs, network server devices, etc.). The network node 104 canbe connected to the one or more communication service provider networks106 via one or more backhaul links 108. For example, the one or morebackhaul links 108 can comprise wired link components, such as a T1/E1phone line, a digital subscriber line (DSL) (e.g., either synchronous orasynchronous), an asymmetric DSL (ADSL), an optical fiber backbone, acoaxial cable, and the like. The one or more backhaul links 108 can alsoinclude wireless link components, such as but not limited to,line-of-sight (LOS) or non-LOS links which can include terrestrialair-interfaces or deep space links (e.g., satellite communication linksfor navigation).

Wireless communication system 100 can employ various cellular systems,technologies, and modulation modes to facilitate wireless radiocommunications between devices (e.g., the UE 102 and the network node104). While example embodiments might be described for 5G new radio (NR)systems, the embodiments can be applicable to any radio accesstechnology (RAT) or multi-RAT system where the UE operates usingmultiple carriers e.g. LTE FDD/TDD, GSM/GERAN, CDMA2000 etc.

For example, system 100 can operate in accordance with global system formobile communications (GSM), universal mobile telecommunications service(UMTS), long term evolution (LTE), LTE frequency division duplexing (LTEFDD, LTE time division duplexing (TDD), high speed packet access (HSPA),code division multiple access (CDMA), wideband CDMA (WCMDA), CDMA2000,time division multiple access (TDMA), frequency division multiple access(FDMA), multi-carrier code division multiple access (MC-CDMA),single-carrier code division multiple access (SC-CDMA), single-carrierFDMA (SC-FDMA), orthogonal frequency division multiplexing (OFDM),discrete Fourier transform spread OFDM (DFT-spread OFDM) single carrierFDMA (SC-FDMA), Filter bank based multi-carrier (FBMC), zero tailDFT-spread-OFDM (ZT DFT-s-OFDM), generalized frequency divisionmultiplexing (GFDM), fixed mobile convergence (FMC), universal fixedmobile convergence (UFMC), unique word OFDM (UW-OFDM), unique wordDFT-spread OFDM (UW DFT-Spread-OFDM), cyclic prefix OFDM CP-OFDM,resource-block-filtered OFDM, Wi Fi, WLAN, WiMax, and the like. However,various features and functionalities of system 100 are particularlydescribed wherein the devices (e.g., the UEs 102 and the network node104) of system 100 are configured to communicate wireless signals usingone or more multi carrier modulation schemes, wherein data symbols canbe transmitted simultaneously over multiple frequency subcarriers (e.g.,OFDM, CP-OFDM, DFT-spread OFMD, UFMC, FMBC, etc.). The embodiments areapplicable to single carrier as well as to multicarrier (MC) or carrieraggregation (CA) operation of the UE. The term carrier aggregation (CA)is also called (e.g. interchangeably called) “multi-carrier system”,“multi-cell operation”, “multi-carrier operation”, “multi-carrier”transmission and/or reception. Note that some embodiments are alsoapplicable for Multi RAB (radio bearers) on some carriers (that is dataplus speech is simultaneously scheduled).

In various embodiments, system 100 can be configured to provide andemploy 5G wireless networking features and functionalities. 5G wirelesscommunication networks are expected to fulfill the demand ofexponentially increasing data traffic and to allow people and machinesto enjoy gigabit data rates with virtually zero latency. Compared to 4G,5G supports more diverse traffic scenarios. For example, in addition tothe various types of data communication between conventional UEs (e.g.,phones, smartphones, tablets, PCs, televisions, Internet enabledtelevisions, etc.) supported by 4G networks, 5G networks can be employedto support data communication between smart cars in association withdriverless car environments, as well as machine type communications(MTCs). Considering the drastic different communication needs of thesedifferent traffic scenarios, the ability to dynamically configurewaveform parameters based on traffic scenarios while retaining thebenefits of multi carrier modulation schemes (e.g., OFDM and relatedschemes) can provide a significant contribution to the highspeed/capacity and low latency demands of 5G networks. With waveformsthat split the bandwidth into several sub-bands, different types ofservices can be accommodated in different sub-bands with the mostsuitable waveform and numerology, leading to an improved spectrumutilization for 5G networks.

To meet the demand for data centric applications, features of proposed5G networks may comprise: increased peak bit rate (e.g., 20 Gbps),larger data volume per unit area (e.g., high system spectralefficiency—for example about 3.5 times that of spectral efficiency oflong term evolution (LTE) systems), high capacity that allows moredevice connectivity both concurrently and instantaneously, lowerbattery/power consumption (which reduces energy and consumption costs),better connectivity regardless of the geographic region in which a useris located, a larger numbers of devices, lower infrastructuraldevelopment costs, and higher reliability of the communications. Thus,5G networks may allow for: data rates of several tens of megabits persecond should be supported for tens of thousands of users, 1 gigabit persecond to be offered simultaneously to tens of workers on the sameoffice floor, for example; several hundreds of thousands of simultaneousconnections to be supported for massive sensor deployments; improvedcoverage, enhanced signaling efficiency; reduced latency compared toLTE.

The upcoming 5G access network may utilize higher frequencies (e.g., >6GHz) to aid in increasing capacity. Currently, much of the millimeterwave (mmWave) spectrum, the band of spectrum between 30 gigahertz (Ghz)and 300 Ghz is underutilized. The millimeter waves have shorterwavelengths that range from 10 millimeters to 1 millimeter, and thesemmWave signals experience severe path loss, penetration loss, andfading. However, the shorter wavelength at mmWave frequencies alsoallows more antennas to be packed in the same physical dimension, whichallows for large-scale spatial multiplexing and highly directionalbeamforming.

Performance can be improved if both the transmitter and the receiver areequipped with multiple antennas. Multi-antenna techniques cansignificantly increase the data rates and reliability of a wirelesscommunication system. The use of multiple input multiple output (MIMO)techniques, which was introduced in the third-generation partnershipproject (3GPP) and has been in use (including with LTE), is amulti-antenna technique that can improve the spectral efficiency oftransmissions, thereby significantly boosting the overall data carryingcapacity of wireless systems. The use of multiple-input multiple-output(MIMO) techniques can improve mmWave communications, and has been widelyrecognized a potentially important component for access networksoperating in higher frequencies. MIMO can be used for achievingdiversity gain, spatial multiplexing gain and beamforming gain. Forthese reasons, MIMO systems are an important part of the 3rd and 4thgeneration wireless systems, and are planned for use in 5G systems.

Referring now to FIG. 2, illustrated is an example schematic systemblock diagram of a radio access network intelligent controller 200.

In the embodiment shown in FIG. 2, the RIC 200 can comprisesub-components (e.g., correlator component 202, zone managementcomponent 204, AI component 208, and precoder matrix generator component206), processor 210 and memory 212 can bi-directionally communicate witheach other. It should also be noted that in alternative embodiments thatother components including, but not limited to the sub-components,processor 210, and/or memory 212, can be external to the RIC 200.Aspects of the processor 210 can constitute machine-executablecomponent(s) embodied within machine(s), e.g., embodied in one or morecomputer readable mediums (or media) associated with one or moremachines. Such component(s), when executed by the one or more machines,e.g., computer(s), computing device(s), virtual machine(s), etc. cancause the machine(s) to perform the operations described by the RIC 200.In an aspect, the RIC 200 can also include memory 212 that storescomputer executable components and instructions.

The RIC 200 can receive multiple input data from the wireless network.The RIC 200 can also manage each zone. For example, zones can be added,removed, subdivided, augmented, reduced, overlaid, etc. Additionally, asthe topography or terrain changes (e.g., new buildings, bridges,stadiums, etc.), the zones can be updated to reflect the topographicalchanges. For example, the zone management component 204 can receive zonedata representative of defined zones or zone clusters of the wirelessnetwork. The zones can be defined dynamically based upon UE 102distributions within the wireless network. Additionally, specificobjects (e.g., buildings, bridges, stadiums, etc.) and/or events (e.g.,parades, concerts, meetings, etc.) can be within specific zones. Theseobjects and/or events can be correlated to the zones and specific timesassociated therewith by the correlator component 202. For example, if aconcert occurs every year on a specific day, at a specific time, and ata specific location, then these identifiers can be correlated to aspecific zone. Additionally, a machine learning or AI component 206 canutilize historical data to facilitate coordinated beam forming. Forexample, based on historical data and current UE distribution dataand/or any of the above noted data, the AI component 206 can predict aUE distribution for a zone. The predication data, the zone data, and theobject data can all be used together or independently to generate aprecoder matrix at the precoder matrix generator component 208. Theprecoder matrix generator component 208 can generate precoder matricesto coordinate beams, and beam-sweeping patterns to be sent to each zonebased upon a known or predicted UE distribution. Beam sweeping modelsbased on the above mentioned outputs can be applied in real-time toproduce precoding matrices just in time to steer multiple beams to adesired objective (e.g., maximize coverage or capacity).

Referring now to FIG. 3 and FIG. 4, illustrated is an example schematicsystem block diagram of a zoned topography 300, 400 in communicationwith the RIC 200. Repetitive description of like elements employed inother embodiments described herein is omitted for sake of brevity. Asdepicted in FIG. 3, zones can comprise various wireless networkingtechnologies. For example, zone 302 can comprise a wireless base stationand have a different topography than a Wi-Fi device stationed at zone304. Thus, the RIC system can consider the wireless technologies inconjunction with the topography when deciding the precoding matrix. TheRIC 200 can also ascertain the UE 102 distribution within each of thezones 302, 304. For instance, the RIC can determine that there are threeUEs 102 in zone 304 as opposed to just one UE 106 within zone 302. Basedon this determination, the RIC 200 can generate a precoding matrix tofacilitate coverage for the UEs 102, 106 accordingly. Additionally, atime factor can be included in this analysis. For instance, if a schoolis included in the zone 304 and classes run from a duration of 9 am-10am, then the RIC 200 can have prior knowledge of how many UEs 102 areanticipated to be within the classroom during those hours. In additionto the predictive data, the RIC 200 can also utilize current UE data toassess and provide precoder matrix beam patterns. Objects within thezones 302, 304 can also be considered with regards to the precodermatrix beam patterns. The correlator component 202 can correlate all ofthe aforementioned data so that the RIC 200 can positively influencecapacity, spectrum utilization, delay budgets, and/or powerconsumptions.

Referring now to FIG. 5 illustrates an example flow diagram of a closedloop control system 500. A historical database 502 can send and receivedata, associated with UEs 102, 106, to block 504 where the UE data canbe collected and/or correlated by a correlator component 202. Forexample, location data can be correlated to time data associated with aspecific UE (e.g., UE 102 is in/near zone 302 at 8 am most mornings).The UE data can comprise UE collection data, UE correlation data, UEusage data, UE device type data, etc. The UE data can be sent to the UEdata collection and correlation component at block 504 from a networkconditions and UE measurement component within the RIC at block 508.Once the UE data collection and correlation component receives the UEdata and correlates the UE data, the UE data collection and correlationcomponent can send the UE data and correlation data to a learningcomponent (e.g., AI component 208) at block 506. The learning componentcan utilize AI or machine learning (ML) to detect UE mobility patternsand develop a candidate beam selection model that can then be sent to acandidate beam recommendation component of the RIC to facilitate acandidate beam recommendation at block 510.

The network conditions and UE measurement component of centralized units(CUs) and/or distributed units (DUs) at block 512 can send the networkcondition and measurement data to the network conditions and UEmeasurement component within the RIC at block 508. The RIC can then usethe network measurements to generate a precoder matrix and send to theCUs and/or DUs via the candidate beam recommendation component at block510. Thereafter, the CUs and/or DUs can receive the precoding matrix tobe used by the UEs at block 514. Because this is a closed-loop system,it can be further conditioned and fine-tuned via the learning componentthe more data is curated.

Referring now to FIG. 6, illustrated is an example flow diagram for amethod for coordinated beam forming for a 5G network according to one ormore embodiments. At element 600, a method can comprise receiving zonedata (e.g., via the zone management component 204) representative of azone 302, 304 comprising mobile devices (e.g. UE 102) of a wirelessnetwork. At element 602, the method can comprise receiving channel statedata associated with channels utilized by the mobile devices (e.g. UE102), wherein the channel state data is received from a radio unitdevice. Additionally, at element 604, the method can comprise receivingexternal data representative of an object within the zone 302, 304.Furthermore, based on the zone data, the channel state data, and theexternal data, at element 606, the method can comprise generatingprecoding data (e.g., via the precoder matrix generator component 206)representative of a precoder matrix to be sent to the mobile devices(e.g. UE 102).

Referring now to FIG. 7, illustrated is an example flow diagram for asystem for coordinated beam forming for a 5G network according to one ormore embodiments. At element 700, a system can facilitate, receivingzone data (e.g., via the zone management component 204) representativeof a zone comprising mobile devices (e.g. UE 102) of a wireless network.At element 702, the system can comprise receiving channel state dataassociated with the mobile devices (e.g. UE 102), wherein the channelstate data is received from a radio unit device. At element 704, thesystem can comprise receiving object data representative ofcharacteristics of an object within the zone 302, 304. Based on the zonedata, the channel state data, and the object data, at element 706, thesystem operations can comprise generating precoding data representativeof a precoder matrix to be sent to the mobile devices (e.g., UE 102).Additionally, in response to the generating the precoding data, atelement 708, the system operations can comprise sending the precodingdata to the mobile devices (e.g., UE 102).

Referring now to FIG. 8, illustrated is an example flow diagram for amachine-readable medium for coordinated beam forming for a 5G networkaccording to one or more embodiments. At element 800, a machine-readablestorage medium can perform the operations comprising facilitatingreceiving zone data (e.g., via the zone management component 204)representative of a zone of a wireless network. At element 802, themachine-readable storage medium can perform the operations comprisingfacilitating receiving an indication of mobile devices (e.g. UE 102)within the zone 302, 304. In response to the facilitating the receivingthe indication, at element 804, the machine-readable storage medium canperform the operations comprising facilitating receiving channel statedata, associated with the mobile devices (e.g. UE 102), from a radiounit device. Additionally, at element 806, the machine-readable storagemedium can perform the operations comprising facilitating receivingobject data representative of characteristics of an object within thezone 302, 304. Furthermore, based on the zone data, the indication, thechannel state data, and the object data, at element 808, themachine-readable storage medium can perform the operations comprisingfacilitating sending precoding matrix data, representative of aprecoding matrix, to the mobile devices (e.g. UE 102).

Referring now to FIG. 9, illustrated is an example block diagram of anexample mobile handset 900 operable to engage in a system architecturethat facilitates wireless communications according to one or moreembodiments described herein. Although a mobile handset is illustratedherein, it will be understood that other devices can be a mobile device,and that the mobile handset is merely illustrated to provide context forthe embodiments of the various embodiments described herein. Thefollowing discussion is intended to provide a brief, general descriptionof an example of a suitable environment in which the various embodimentscan be implemented. While the description includes a general context ofcomputer-executable instructions embodied on a machine-readable storagemedium, those skilled in the art will recognize that the disclosure alsocan be implemented in combination with other program modules and/or as acombination of hardware and software.

Generally, applications (e.g., program modules) can include routines,programs, components, data structures, etc., that perform particulartasks or implement particular abstract data types. Moreover, thoseskilled in the art will appreciate that the methods described herein canbe practiced with other system configurations, includingsingle-processor or multiprocessor systems, minicomputers, mainframecomputers, as well as personal computers, hand-held computing devices,microprocessor-based or programmable consumer electronics, and the like,each of which can be operatively coupled to one or more associateddevices.

A computing device can typically include a variety of machine-readablemedia. Machine-readable media can be any available media that can beaccessed by the computer and includes both volatile and non-volatilemedia, removable and non-removable media. By way of example and notlimitation, computer-readable media can comprise computer storage mediaand communication media. Computer storage media can include volatileand/or non-volatile media, removable and/or non-removable mediaimplemented in any method or technology for storage of information, suchas computer-readable instructions, data structures, program modules, orother data. Computer storage media can include, but is not limited to,RAM, ROM, EEPROM, flash memory or other memory technology, CD ROM,digital video disk (DVD) or other optical disk storage, magneticcassettes, magnetic tape, magnetic disk storage or other magneticstorage devices, or any other medium which can be used to store thedesired information and which can be accessed by the computer.

Communication media typically embodies computer-readable instructions,data structures, program modules, or other data in a modulated datasignal such as a carrier wave or other transport mechanism, and includesany information delivery media. The term “modulated data signal” means asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in the signal. By way of example,and not limitation, communication media includes wired media such as awired network or direct-wired connection, and wireless media such asacoustic, RF, infrared and other wireless media. Combinations of the anyof the above should also be included within the scope ofcomputer-readable media.

The handset includes a processor 902 for controlling and processing allonboard operations and functions. A memory 904 interfaces to theprocessor 902 for storage of data and one or more applications 906(e.g., a video player software, user feedback component software, etc.).Other applications can include voice recognition of predetermined voicecommands that facilitate initiation of the user feedback signals. Theapplications 906 can be stored in the memory 904 and/or in a firmware908, and executed by the processor 902 from either or both the memory904 or/and the firmware 908. The firmware 908 can also store startupcode for execution in initializing the handset 900. A communicationscomponent 910 interfaces to the processor 902 to facilitatewired/wireless communication with external systems, e.g., cellularnetworks, VoIP networks, and so on. Here, the communications component910 can also include a suitable cellular transceiver 911 (e.g., a GSMtransceiver) and/or an unlicensed transceiver 913 (e.g., Wi-Fi, WiMax)for corresponding signal communications. The handset 900 can be a devicesuch as a cellular telephone, a PDA with mobile communicationscapabilities, and messaging-centric devices. The communicationscomponent 910 also facilitates communications reception from terrestrialradio networks (e.g., broadcast), digital satellite radio networks, andInternet-based radio services networks.

The handset 900 includes a display 912 for displaying text, images,video, telephony functions (e.g., a Caller ID function), setupfunctions, and for user input. For example, the display 912 can also bereferred to as a “screen” that can accommodate the presentation ofmultimedia content (e.g., music metadata, messages, wallpaper, graphics,etc.). The display 912 can also display videos and can facilitate thegeneration, editing and sharing of video quotes. A serial I/O interface914 is provided in communication with the processor 902 to facilitatewired and/or wireless serial communications (e.g., USB, and/or IEEE1394) through a hardwire connection, and other serial input devices(e.g., a keyboard, keypad, and mouse). This can support updating andtroubleshooting the handset 900, for example. Audio capabilities areprovided with an audio I/O component 916, which can include a speakerfor the output of audio signals related to, for example, indication thatthe user pressed the proper key or key combination to initiate the userfeedback signal. The audio I/O component 916 also facilitates the inputof audio signals through a microphone to record data and/or telephonyvoice data, and for inputting voice signals for telephone conversations.

The handset 900 can include a slot interface 918 for accommodating a SIC(Subscriber Identity Component) in the form factor of a card SubscriberIdentity Module (SIM) or universal SIM 920, and interfacing the SIM card920 with the processor 902. However, it is to be appreciated that theSIM card 920 can be manufactured into the handset 900, and updated bydownloading data and software.

The handset 900 can process IP data traffic through the communicationscomponent 910 to accommodate IP traffic from an IP network such as, forexample, the Internet, a corporate intranet, a home network, a personarea network, etc., through an ISP or broadband cable provider. Thus,VoIP traffic can be utilized by the handset 900 and IP-based multimediacontent can be received in either an encoded or decoded format.

A video processing component 922 (e.g., a camera) can be provided fordecoding encoded multimedia content. The video processing component 922can aid in facilitating the generation, editing, and sharing of videoquotes. The handset 900 also includes a power source 924 in the form ofbatteries and/or an AC power subsystem, which power source 924 caninterface to an external power system or charging equipment (not shown)by a power I/O component 926.

The handset 900 can also include a video component 930 for processingvideo content received and, for recording and transmitting videocontent. For example, the video component 930 can facilitate thegeneration, editing and sharing of video quotes. A location trackingcomponent 932 facilitates geographically locating the handset 900. Asdescribed hereinabove, this can occur when the user initiates thefeedback signal automatically or manually. A user input component 934facilitates the user initiating the quality feedback signal. The userinput component 934 can also facilitate the generation, editing andsharing of video quotes. The user input component 934 can include suchconventional input device technologies such as a keypad, keyboard,mouse, stylus pen, and/or touchscreen, for example.

Referring again to the applications 906, a hysteresis component 936facilitates the analysis and processing of hysteresis data, which isutilized to determine when to associate with the access point. Asoftware trigger component 938 can be provided that facilitatestriggering of the hysteresis component 936 when the Wi-Fi transceiver913 detects the beacon of the access point. A SIP client 940 enables thehandset 900 to support SIP protocols and register the subscriber withthe SIP registrar server. The applications 906 can also include a client942 that provides at least the capability of discovery, play and storeof multimedia content, for example, music.

The handset 900, as indicated above related to the communicationscomponent 910, includes an indoor network radio transceiver 913 (e.g.,Wi-Fi transceiver). This function supports the indoor radio link, suchas IEEE 802.11, for the dual-mode GSM handset 900. The handset 900 canaccommodate at least satellite radio services through a handset that cancombine wireless voice and digital radio chipsets into a single handhelddevice.

Referring now to FIG. 10, illustrated is an example block diagram of anexample computer 1000 operable to engage in a system architecture thatfacilitates wireless communications according to one or more embodimentsdescribed herein. The computer 1000 can provide networking andcommunication capabilities between a wired or wireless communicationnetwork and a server (e.g., Microsoft server) and/or communicationdevice. In order to provide additional context for various aspectsthereof, FIG. 10 and the following discussion are intended to provide abrief, general description of a suitable computing environment in whichthe various aspects of this disclosure can be implemented to facilitatethe establishment of a transaction between an entity and a third party.While the description above is in the general context ofcomputer-executable instructions that can run on one or more computers,those skilled in the art will recognize that this disclosure also can beimplemented in combination with other program modules and/or as acombination of hardware and software.

Generally, program modules include routines, programs, components, datastructures, etc., that perform particular tasks or implement particularabstract data types. Moreover, those skilled in the art will appreciatethat the various methods can be practiced with other computer systemconfigurations, including single-processor or multiprocessor computersystems, minicomputers, mainframe computers, as well as personalcomputers, hand-held computing devices, microprocessor-based orprogrammable consumer electronics, and the like, each of which can beoperatively coupled to one or more associated devices.

The illustrated aspects of this disclosure can also be practiced indistributed computing environments where certain tasks are performed byremote processing devices that are linked through a communicationsnetwork. In a distributed computing environment, program modules can belocated in both local and remote memory storage devices.

Computing devices typically include a variety of media, which caninclude computer-readable storage media or communications media, whichtwo terms are used herein differently from one another as follows.

Computer-readable storage media can be any available storage media thatcan be accessed by the computer and includes both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media can be implementedin connection with any method or technology for storage of informationsuch as computer-readable instructions, program modules, structureddata, or unstructured data. Computer-readable storage media can include,but are not limited to, RAM, ROM, EEPROM, flash memory or other memorytechnology, CD-ROM, digital versatile disk (DVD) or other optical diskstorage, magnetic cassettes, magnetic tape, magnetic disk storage orother magnetic storage devices, or other tangible and/or non-transitorymedia which can be used to store desired information. Computer-readablestorage media can be accessed by one or more local or remote computingdevices, e.g., via access requests, queries or other data retrievalprotocols, for a variety of operations with respect to the informationstored by the medium.

Communications media can embody computer-readable instructions, datastructures, program modules or other structured or unstructured data ina data signal such as a modulated data signal, e.g., a carrier wave orother transport mechanism, and includes any information delivery ortransport media. The term “modulated data signal” or signals refers to asignal that has one or more of its characteristics set or changed insuch a manner as to encode information in one or more signals. By way ofexample, and not limitation, communication media include wired media,such as a wired network or direct-wired connection, and wireless mediasuch as acoustic, RF, infrared and other wireless media.

With reference to FIG. 10, implementing various aspects described hereinwith regards to the end-user device can include a computer 1000, thecomputer 1000 including a processing unit 1004, a system memory 1006 anda system bus 1008. The system bus 1008 couples system componentsincluding, but not limited to, the system memory 1006 to the processingunit 1004. The processing unit 1004 can be any of various commerciallyavailable processors. Dual microprocessors and other multi-processorarchitectures can also be employed as the processing unit 1004.

The system bus 1008 can be any of several types of bus structure thatcan further interconnect to a memory bus (with or without a memorycontroller), a peripheral bus, and a local bus using any of a variety ofcommercially available bus architectures. The system memory 1006includes read-only memory (ROM) 1027 and random access memory (RAM)1012. A basic input/output system (BIOS) is stored in a non-volatilememory 1027 such as ROM, EPROM, EEPROM, which BIOS contains the basicroutines that help to transfer information between elements within thecomputer 1000, such as during start-up. The RAM 1012 can also include ahigh-speed RAM such as static RAM for caching data.

The computer 1000 further includes an internal hard disk drive (HDD)1014 (e.g., EIDE, SATA), which internal hard disk drive 1014 can also beconfigured for external use in a suitable chassis (not shown), amagnetic floppy disk drive (FDD) 1016, (e.g., to read from or write to aremovable diskette 1018) and an optical disk drive 1020, (e.g., readinga CD-ROM disk 1022 or, to read from or write to other high capacityoptical media such as the DVD). The hard disk drive 1014, magnetic diskdrive 1016 and optical disk drive 1020 can be connected to the systembus 1008 by a hard disk drive interface 1024, a magnetic disk driveinterface 1026 and an optical drive interface 1028, respectively. Theinterface 1024 for external drive implementations includes at least oneor both of Universal Serial Bus (USB) and IEEE 1394 interfacetechnologies. Other external drive connection technologies are withincontemplation of the subject disclosure.

The drives and their associated computer-readable media providenonvolatile storage of data, data structures, computer-executableinstructions, and so forth. For the computer 1000 the drives and mediaaccommodate the storage of any data in a suitable digital format.Although the description of computer-readable media above refers to aHDD, a removable magnetic diskette, and a removable optical media suchas a CD or DVD, it should be appreciated by those skilled in the artthat other types of media which are readable by a computer 1000, such aszip drives, magnetic cassettes, flash memory cards, cartridges, and thelike, can also be used in the exemplary operating environment, andfurther, that any such media can contain computer-executableinstructions for performing the methods of the disclosure.

A number of program modules can be stored in the drives and RAM 1012,including an operating system 1030, one or more application programs1032, other program modules 1034 and program data 1036. All or portionsof the operating system, applications, modules, and/or data can also becached in the RAM 1012. It is to be appreciated that this disclosure canbe implemented with various commercially available operating systems orcombinations of operating systems.

A user can enter commands and information into the computer 1000 throughone or more wired/wireless input devices, e.g., a keyboard 1038 and apointing device, such as a mouse 1040. Other input devices (not shown)can include a microphone, an IR remote control, a joystick, a game pad,a stylus pen, touchscreen, or the like. These and other input devicesare often connected to the processing unit 1004 through an input deviceinterface 1042 that is coupled to the system bus 1008, but can beconnected by other interfaces, such as a parallel port, an IEEE 1394serial port, a game port, a USB port, an IR interface, etc.

A monitor 1044 or other type of display device is also connected to thesystem bus 1008 through an interface, such as a video adapter 1046. Inaddition to the monitor 1044, a computer 1000 typically includes otherperipheral output devices (not shown), such as speakers, printers, etc.

The computer 1000 can operate in a networked environment using logicalconnections by wired and/or wireless communications to one or moreremote computers, such as a remote computer(s) 1048. The remotecomputer(s) 1048 can be a workstation, a server computer, a router, apersonal computer, portable computer, microprocessor-based entertainmentdevice, a peer device or other common network node, and typicallyincludes many or all of the elements described relative to the computer,although, for purposes of brevity, only a memory/storage device 1050 isillustrated. The logical connections depicted include wired/wirelessconnectivity to a local area network (LAN) 1052 and/or larger networks,e.g., a wide area network (WAN) 1054. Such LAN and WAN networkingenvironments are commonplace in offices and companies, and facilitateenterprise-wide computer networks, such as intranets, all of which canconnect to a global communications network, e.g., the Internet.

When used in a LAN networking environment, the computer 1000 isconnected to the local network 1052 through a wired and/or wirelesscommunication network interface or adapter 1056. The adapter 1056 canfacilitate wired or wireless communication to the LAN 1052, which canalso include a wireless access point disposed thereon for communicatingwith the wireless adapter 1056.

When used in a WAN networking environment, the computer 1000 can includea modem 1058, or is connected to a communications server on the WAN1054, or has other means for establishing communications over the WAN1054, such as by way of the Internet. The modem 1058, which can beinternal or external and a wired or wireless device, is connected to thesystem bus 1008 through the input device interface 1042. In a networkedenvironment, program modules depicted relative to the computer, orportions thereof, can be stored in the remote memory/storage device1050. It will be appreciated that the network connections shown areexemplary and other means of establishing a communications link betweenthe computers can be used.

The computer is operable to communicate with any wireless devices orentities operatively disposed in wireless communication, e.g., aprinter, scanner, desktop and/or portable computer, portable dataassistant, communications satellite, any piece of equipment or locationassociated with a wirelessly detectable tag (e.g., a kiosk, news stand,restroom), and telephone. This includes at least Wi-Fi and Bluetooth™wireless technologies. Thus, the communication can be a predefinedstructure as with a conventional network or simply an ad hoccommunication between at least two devices.

Wi-Fi, or Wireless Fidelity, allows connection to the Internet from acouch at home, in a hotel room, or a conference room at work, withoutwires. Wi-Fi is a wireless technology similar to that used in a cellphone that enables such devices, e.g., computers, to send and receivedata indoors and out; anywhere within the range of a base station. Wi-Finetworks use radio technologies called IEEE 802.11 (a, b, g, etc.) toprovide secure, reliable, fast wireless connectivity. A Wi-Fi networkcan be used to connect computers to each other, to the Internet, and towired networks (which use IEEE 802.3 or Ethernet). Wi-Fi networksoperate in the unlicensed 2.4 and 5 GHz radio bands, at an 7 Mbps(802.11a) or 54 Mbps (802.11b) data rate, for example, or with productsthat contain both bands (dual band), so the networks can providereal-world performance similar to the basic 16BaseT wired Ethernetnetworks used in many offices.

An aspect of 5G, which differentiates from previous 4G systems, is theuse of NR. NR architecture can be designed to support multipledeployment cases for independent configuration of resources used forRACH procedures. Since the NR can provide additional services than thoseprovided by LTE, efficiencies can be generated by leveraging the prosand cons of LTE and NR to facilitate the interplay between LTE and NR,as discussed herein.

Reference throughout this specification to “one embodiment,” or “anembodiment,” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearances of the phrase “in oneembodiment,” “in one aspect,” or “in an embodiment,” in various placesthroughout this specification are not necessarily all referring to thesame embodiment. Furthermore, the particular features, structures, orcharacteristics can be combined in any suitable manner in one or moreembodiments.

As used in this disclosure, in some embodiments, the terms “component,”“system,” “interface,” and the like are intended to refer to, orcomprise, a computer-related entity or an entity related to anoperational apparatus with one or more specific functionalities, whereinthe entity can be either hardware, a combination of hardware andsoftware, software, or software in execution, and/or firmware. As anexample, a component can be, but is not limited to being, a processrunning on a processor, a processor, an object, an executable, a threadof execution, computer-executable instructions, a program, and/or acomputer. By way of illustration and not limitation, both an applicationrunning on a server and the server can be a component.

One or more components can reside within a process and/or thread ofexecution and a component can be localized on one computer and/ordistributed between two or more computers. In addition, these componentscan execute from various computer readable media having various datastructures stored thereon. The components can communicate via localand/or remote processes such as in accordance with a signal having oneor more data packets (e.g., data from one component interacting withanother component in a local system, distributed system, and/or across anetwork such as the Internet with other systems via the signal). Asanother example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry, which is operated by a software application orfirmware application executed by one or more processors, wherein theprocessor can be internal or external to the apparatus and can executeat least a part of the software or firmware application. As yet anotherexample, a component can be an apparatus that provides specificfunctionality through electronic components without mechanical parts,the electronic components can comprise a processor therein to executesoftware or firmware that confer(s) at least in part the functionalityof the electronic components. In an aspect, a component can emulate anelectronic component via a virtual machine, e.g., within a cloudcomputing system. While various components have been illustrated asseparate components, it will be appreciated that multiple components canbe implemented as a single component, or a single component can beimplemented as multiple components, without departing from exampleembodiments.

In addition, the words “example” and “exemplary” are used herein to meanserving as an instance or illustration. Any embodiment or designdescribed herein as “example” or “exemplary” is not necessarily to beconstrued as preferred or advantageous over other embodiments ordesigns. Rather, use of the word example or exemplary is intended topresent concepts in a concrete fashion. As used in this application, theterm “or” is intended to mean an inclusive “or” rather than an exclusive“or.” That is, unless specified otherwise or clear from context, “Xemploys A or B” is intended to mean any of the natural inclusivepermutations. That is, if X employs A; X employs B; or X employs both Aand B, then “X employs A or B” is satisfied under any of the foregoinginstances. In addition, the articles “a” and “an” as used in thisapplication and the appended claims should generally be construed tomean “one or more” unless specified otherwise or clear from context tobe directed to a singular form.

Moreover, terms such as “mobile device equipment,” “mobile station,”“mobile,” subscriber station,” “access terminal,” “terminal,” “handset,”“communication device,” “mobile device” (and/or terms representingsimilar terminology) can refer to a wireless device utilized by asubscriber or mobile device of a wireless communication service toreceive or convey data, control, voice, video, sound, gaming orsubstantially any data-stream or signaling-stream. The foregoing termsare utilized interchangeably herein and with reference to the relateddrawings. Likewise, the terms “access point (AP),” “Base Station (BS),”BS transceiver, BS device, cell site, cell site device, “Node B (NB),”“evolved Node B (eNode B),” “home Node B (HNB)” and the like, areutilized interchangeably in the application, and refer to a wirelessnetwork component or appliance that transmits and/or receives data,control, voice, video, sound, gaming or substantially any data-stream orsignaling-stream from one or more subscriber stations. Data andsignaling streams can be packetized or frame-based flows.

Furthermore, the terms “device,” “communication device,” “mobiledevice,” “subscriber,” “customer entity,” “consumer,” “customer entity,”“entity” and the like are employed interchangeably throughout, unlesscontext warrants particular distinctions among the terms. It should beappreciated that such terms can refer to human entities or automatedcomponents supported through artificial intelligence (e.g., a capacityto make inference based on complex mathematical formalisms), which canprovide simulated vision, sound recognition and so forth.

Embodiments described herein can be exploited in substantially anywireless communication technology, comprising, but not limited to,wireless fidelity (Wi-Fi), global system for mobile communications(GSM), universal mobile telecommunications system (UMTS), worldwideinteroperability for microwave access (WiMAX), enhanced general packetradio service (enhanced GPRS), third generation partnership project(3GPP) long term evolution (LTE), third generation partnership project 2(3GPP2) ultra mobile broadband (UMB), high speed packet access (HSPA),Z-Wave, Zigbee and other 802.XX wireless technologies and/or legacytelecommunication technologies.

The various aspects described herein can relate to New Radio (NR), whichcan be deployed as a standalone radio access technology or as anon-standalone radio access technology assisted by another radio accesstechnology, such as Long Term Evolution (LTE), for example. It should benoted that although various aspects and embodiments have been describedherein in the context of 5G, Universal Mobile Telecommunications System(UMTS), and/or Long Term Evolution (LTE), or other next generationnetworks, the disclosed aspects are not limited to 5G, a UMTSimplementation, and/or an LTE implementation as the techniques can alsobe applied in 3G, 4G, or LTE systems. For example, aspects or featuresof the disclosed embodiments can be exploited in substantially anywireless communication technology. Such wireless communicationtechnologies can include UMTS, Code Division Multiple Access (CDMA),Wi-Fi, Worldwide Interoperability for Microwave Access (WiMAX), GeneralPacket Radio Service (GPRS), Enhanced GPRS, Third Generation PartnershipProject (3GPP), LTE, Third Generation Partnership Project 2 (3GPP2)Ultra Mobile Broadband (UMB), High Speed Packet Access (HSPA), EvolvedHigh Speed Packet Access (HSPA+), High-Speed Downlink Packet Access(HSDPA), High-Speed Uplink Packet Access (HSUPA), Zigbee, or anotherIEEE 802.XX technology. Additionally, substantially all aspectsdisclosed herein can be exploited in legacy telecommunicationtechnologies.

As used herein, the term “infer” or “inference” refers generally to theprocess of reasoning about, or inferring states of, the system,environment, user, and/or intent from a set of observations as capturedvia events and/or data. Captured data and events can include user data,device data, environment data, data from sensors, sensor data,application data, implicit data, explicit data, etc. Inference can beemployed to identify a specific context or action, or can generate aprobability distribution over states of interest based on aconsideration of data and events, for example.

Inference can also refer to techniques employed for composinghigher-level events from a set of events and/or data. Such inferenceresults in the construction of new events or actions from a set ofobserved events and/or stored event data, whether the events arecorrelated in close temporal proximity, and whether the events and datacome from one or several event and data sources. Various classificationprocedures and/or systems (e.g., support vector machines, neuralnetworks, expert systems, Bayesian belief networks, fuzzy logic, anddata fusion engines) can be employed in connection with performingautomatic and/or inferred action in connection with the disclosedsubject matter.

In addition, the various embodiments can be implemented as a method,apparatus, or article of manufacture using standard programming and/orengineering techniques to produce software, firmware, hardware, or anycombination thereof to control a computer to implement the disclosedsubject matter. The term “article of manufacture” as used herein isintended to encompass a computer program accessible from anycomputer-readable device, machine-readable device, computer-readablecarrier, computer-readable media, machine-readable media,computer-readable (or machine-readable) storage/communication media. Forexample, computer-readable media can comprise, but are not limited to, amagnetic storage device, e.g., hard disk; floppy disk; magneticstrip(s); an optical disk (e.g., compact disk (CD), a digital video disc(DVD), a Blu-ray Disc™ (BD)); a smart card; a flash memory device (e.g.,card, stick, key drive); and/or a virtual device that emulates a storagedevice and/or any of the above computer-readable media. Of course, thoseskilled in the art will recognize many modifications can be made to thisconfiguration without departing from the scope or spirit of the variousembodiments.

The above description of illustrated embodiments of the subjectdisclosure, including what is described in the Abstract, is not intendedto be exhaustive or to limit the disclosed embodiments to the preciseforms disclosed. While specific embodiments and examples are describedherein for illustrative purposes, various modifications are possiblethat are considered within the scope of such embodiments and examples,as those skilled in the relevant art can recognize.

In this regard, while the subject matter has been described herein inconnection with various embodiments and corresponding figures, whereapplicable, it is to be understood that other similar embodiments can beused or modifications and additions can be made to the describedembodiments for performing the same, similar, alternative, or substitutefunction of the disclosed subject matter without deviating therefrom.Therefore, the disclosed subject matter should not be limited to anysingle embodiment described herein, but rather should be construed inbreadth and scope in accordance with the appended claims below.

What is claimed is:
 1. A method, comprising: receiving, by networkequipment comprising a processor, zone data representative of a zonecomprising user equipment of a network; receiving, by the networkequipment, channel state data associated with channels utilized by theuser equipment, wherein the channel state data is received from a radiounit device; based on the zone data and the channel state data,generating, by the network equipment, precoding data representative of aprecoder matrix to be sent to the user equipment; and based on a numberof the user equipment determined to be within the zone reaching apredicted number of the user equipment, modifying, by the networkequipment, a threshold value associated with a beam pattern associatedwith the precoder matrix.
 2. The method of claim 1, further comprising:in response to the generating, transmitting, by the network equipment,the precoding data to the user equipment to facilitate use of theprecoding matrix by the user equipment.
 3. The method of claim 1,wherein the zone data comprises terrain data representative of a terrainwithin the zone.
 4. The method of claim 1, further comprising: based ona bandwidth requirement of the user equipment, predicting, by thenetwork equipment, a location of the user equipment within the zone. 5.The method of claim 1, further comprising: receiving, by the networkequipment, external data representative of an object within the zone. 6.The method of claim 1, further comprising: in response to receiving thechannel state data, generating, by the network equipment, poweradjustment data representative of a power adjustment prompt to be sentto the user equipment.
 7. The method of claim 1, further comprising: inresponse to receiving external data representative of an object withinthe zone, predicting, by the network equipment, a location associatedwith the object.
 8. A system, comprising: a processor; and a memory thatstores executable instructions that, when executed by the processor,facilitate performance of operations, comprising: receiving zone datarepresentative of a zone comprising user equipment of a network;receiving channel state data associated with the user equipment, whereinthe channel state data is received from a radio unit device; based onthe zone data and the channel state data, generating precoding datarepresentative of a precoder matrix to be sent to the user equipment; inresponse to the generating, sending the precoding data to the userequipment; and based on a number of the user equipment predicted to bewithin the zone, adjusting a threshold value of a beam patternassociated with the precoder matrix from a first threshold value to asecond threshold value different than the first threshold value.
 9. Thesystem of claim 8, wherein the operations further comprise: based onobject data representative of characteristics of an object within thezone, predicting a future location of the object that is different thana current location of the object, resulting in a prediction.
 10. Thesystem of claim 9, wherein the prediction is used to determine the beampattern for the user equipment.
 11. The system of claim 9, wherein theprediction is used to determine a power for the user equipment.
 12. Thesystem of claim 9, wherein the object is a vehicle within the zone, andwherein the prediction comprises the prediction of a location of thevehicle.
 13. The system of claim 8, wherein generating the precodingdata is based on a prediction of a location of a vehicle.
 14. The systemof claim 8, wherein generating the precoding data is based on a timeduration associated with a user equipment of the user equipment beingdetermined to remain stationary.
 15. A non-transitory machine-readablemedium, comprising executable instructions that, when executed by aprocessor, facilitate performance of operations, comprising:facilitating receiving zone data representative of a zone of a network;facilitating receiving an indication of user equipment within the zone;in response to the facilitating of the receiving of the indication,facilitating receiving channel state data, associated with the userequipment, from a radio unit device; based on the zone data, theindication, and the channel state data, facilitating sending precodingmatrix data, representative of a precoding matrix, to the userequipment; and based on a first number of the user equipment within thezone being determined to have satisfied a function of a second number ofthe user equipment predicted to be within the zone, modifying athreshold value associated with a beam pattern associated with theprecoder matrix.
 16. The non-transitory machine-readable medium of claim15, wherein the operations further comprise: based on the zone data, theindication, and the channel state data, facilitating generating theprecoding matrix data representative of the precoder matrix to be sentto the user equipment.
 17. The non-transitory machine-readable medium ofclaim 15, wherein the indication of the user equipment comprises thefirst number of the user equipment within the zone.
 18. Thenon-transitory machine-readable medium of claim 15, wherein theoperations further comprise: facilitating receiving object datarepresentative of characteristics of an object within the zone, whereinthe object data comprises location data representative of a location ofthe object.
 19. The non-transitory machine-readable medium of claim 15,wherein the precoding matrix data is generated based on a first locationof a user equipment, of the user equipment, in relation to a secondlocation of an object.
 20. The non-transitory machine-readable medium ofclaim 15, wherein the indication is a first indication, wherein theradio unit is a first radio unit device, and wherein the operationsfurther comprise: in response to a second indication that the firstradio unit device has been determined to have failed, sending back updata to a second radio unit device to facilitate the sending of theprecoding matrix data.